PCA Index Dashboard Examples

PCA Index Dashboard Examples#

This script was last run at 2024-09-17 10:23:49.051736+00:00 (UTC)
In US/Central Time, this is 2024-09-17 05:23:49.051736-05:00
import matplotlib.pyplot as plt
import pandas as pd
import numpy as np

# Generating a random time series data
dates = pd.date_range(start="2021-01-01", end="2021-12-31", freq='D')
data = np.random.randn(len(dates)).cumsum()

# Creating the plot
plt.figure(figsize=(10, 6))
plt.plot(dates, data, label='Random Time Series', color='blue')
plt.title('Random Time Series Plot')
plt.xlabel('Date')
plt.ylabel('Value')
plt.legend()
plt.grid(True)
plt.xticks(rotation=45)
plt.tight_layout()

# Display the plot
plt.show()
print('We are just generating a random time serie here.')
../_images/a6265de83d47502fca5c3a042dc488f4d1c755def5344574e99899a99e2abf6c.png
We are just generating a random time serie here.
../_images/7f4414198849bd9cd5eddbf9371c58e9ff38dcc95c8419bd6be68885eed370d6.png
../_images/50816adfd357f2c0f9be6f1406557001b7dc23d70457f414810ccc891142efb8.png